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Record W2294323942 · doi:10.14288/1.0165662

Case study : assessment of innovation on a P3 project process perspective

2013· article· en· W2294323942 on OpenAlexaboutno aff
Nicolás Melej Richter

Bibliographic record

VenueOpen Collections · 2013
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Process (computing)Process managementKnowledge managementComputer scienceEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

This study focuses on the construction business, where new ideas, system technologies, new and or enhanced materials, innovative construction techniques and associated equipment and facilities management processes are being constantly developed to aid greater efficiency in terms of time, money and functionality. This thesis includes an analysis of innovation in terms of the process perspective between the indicative design and proposals submitted for the Interior Heart and Surgical Centre building (IHSC) in Kelowna, BC. The study focus relates to how the facility will be constructed and how it will be operated. Items reviewed and compared are: structure, schedule and energy consumption. For this study the indicative design was used as a starting point and basis for comparison with the proposals submitted in response to the RFP. For the purpose of this study a description of innovation was selected as, “The use of advanced technologies, methodologies, and clever ideas that result in a positive incremental change compared to the indicative design”. Along with this definition, a set of performance metrics were defined for the purpose of characterizing the proposals and then comparing them with the indicative design.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.011
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.186
GPT teacher head0.490
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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